一类非线性系统的模型参考自适应模糊控制  

Model Reference Adaptive Fuzzy Control for a Class of Nonlinear Systems

作　　者：张惠艳[1] 张天平[1] 曹永忠[1] 

机构地区：[1]扬州大学信息工程学院计算机系,江苏扬州225009

出　　处：《系统工程与电子技术》2003年第7期834-837,共4页Systems Engineering and Electronics

基　　金：国家自然科学基金 ( 60 0 740 13 ) ;江苏省教育厅高校科研基金 ( 0 0KJB5 10 0 0 6) ;扬州大学信息科学学科群基金 (ISG0 3 0 60 6)资助课题

摘　　要：针对一类不确定非线性系统 ,基于一种修改的监督控制方案并利用广义多线性模糊逻辑系统的逼近能力 ,提出了一种模型参考自适应模糊控制器设计的新方案。该方案利用参考模型作为性能指标 ,自适应调节模糊控制器的规则库 ,并通过引入最优逼近误差的自适应补偿项来消除建模误差的影响 ,不但能保证闭环系统稳定 ,而且可使跟踪误差收敛到零。Based on a modified supervisory control strategy and the approximation ability of generalized multilinear fuzzy logic systems (GMFLS), a new scheme called model reference adaptive fuzzy control (MRAFC) for a class of nonlinear systems is proposed in this paper. The MRAFC scheme employs a reference model to provide closed loop performance feedback for generating or modifying a fuzzy controller's knowledge base. The adaptive compensation term of optimal approximation error is adopted. By theoretical analysis, the closed loop fuzzy control system is proved to be globally stable, with tracking error converging to zero. Simulation results demonstrate the effectiveness of the approach.\;

关 键 词：非线性系统 广义多线性模糊逻辑系统 模型参考自适应模糊控制 稳定性 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]